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## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement ,
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could i get a clear explanation about the topic . And also could u provide me code for this topic
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## fractal image compression 2011 papersPosted by: Created at: Tuesday 01st of April 2014 08:05:30 AM Last Edited Or Replied at :Tuesday 01st of April 2014 08:44:58 AM | fractal image compression ,
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## FRACTAL COMPRESSION pptPosted by: seminar surveyer Created at: Thursday 27th of January 2011 12:48:10 AM Last Edited Or Replied at :Thursday 27th of January 2011 12:48:10 AM | fractal ppt ,
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est difference, according to some measure, between it and the child block. Calculate a grayscale transform to match intensity levels between large block and child block precisely. Upper left corner child block, very similar to upper right parent block. Compute affine transform. Store location of parent block (or transform block), affine transform components, and related child block into a file. Repeat for each child block. Lots of comparisons can calculations. 256x256 original image 16x16 sized parent blocks 241*241 = 58,081 block comparisons Decoding - How does it w.................. [:=> Show Contents <=:] | |||

## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement ,
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## fractal image compression seminar reportPosted by: applied electronics Created at: Tuesday 29th of December 2009 04:18:36 AM Last Edited Or Replied at :Thursday 16th of February 2012 12:53:20 AM | fractal image compression matlab,
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arity. Here the image is formed of properly transformed parts of itself. These
transformed parts do not fit together in general to form an exact copy of the
original image and so we must allow some amount of error in our representation of an
image as a set of self-transformations. This means that an image that we encode as a
set of transformations will not be an identical copy but an approximation. To get a mathematical model of an image we express it as a function z = f(x,y) where z is the grayscale. METRI.................. [:=> Show Contents <=:] | |||

## IMAGE COMPRESSION USING FRACTAL ALGORITHMSPosted by: nit_cal Created at: Saturday 31st of October 2009 05:54:15 AM Last Edited Or Replied at :Saturday 31st of October 2009 05:54:15 AM | image compression by dct,
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## Fractal Image CompressionPosted by: computer science crazy Created at: Tuesday 07th of April 2009 01:34:55 PM Last Edited Or Replied at :Thursday 16th of February 2012 12:53:28 AM | fractal image compression free,
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s. This problem can be solved by image compression. The number of pixels involved in the picture can be drastically reduced by employing image compression techniques. The human eye is insensitive to a wide variety of information loss. The redundancies in images cannot be easily detected and certain minute details in pictures can also be eliminated while storing so as to reduce the number of pixels. These can be further incorporated while reconstructing the image for minimum error. This is the basic idea behind image compression. Most of the image compression techniques are said to be lossy .................. [:=> Show Contents <=:] | |||

## Fractal Image CompressionPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:39:54 PM Last Edited Or Replied at :Monday 04th of June 2012 05:54:44 AM | Compression ,
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sts of storing the image by eliminating the high frequency Fourier co-efficients and storing only
the low frequency coefficients. This is the principle behind the DCT transformation which forms the
basis of the JPEG scheme of image compression. Barnsley suggested that storing of images as iterated functions of parts of itself leads to efficient image compression.In the middle of the 80's this concept of IFS became popular. Barnsley and his colleagues in the Georgia University first observed the use of IFS in computerized graphics applications. They found that IFS was able to cress colour im.................. [:=> Show Contents <=:] |

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